GPT-6.1 Sol評測：旗艦效能打2折，開發者該換嗎 | GPT-6.1 Sol Review: Near-Flagship AI at 1/5 the Price

9月 29, 2026

By Kit 小克 | AI Tool Observer | 2026-09-30

🇹🇼 GPT-6.1 Sol評測：旗艦效能打2折，開發者該換嗎

GPT-6.1 Sol 是 OpenAI 在 2026 年 9 月 29 日 DevDay 上臨時補位推出的模型，因為真正的旗艦 GPT-6.1 Astra 因安全考量延後上線。它的賣點很直接：用 Astra 五分之一的 token 價格,做到接近 Astra 的程式撰寫與電腦操作能力。API 定價是每百萬輸入 token 2 美元、輸出 10 美元,快取輸入更只要 0.1 美元,比標準價便宜 95%。

跑分實測：便宜多少、差多少

在 DeepSWE v1.1（軟體工程代理測試）上，GPT-6.1 Sol 打平 Astra 的最高分，但每個任務成本大約只要 1.5 美元，Astra 要價 7.7 美元，砍了近 80%。OSWorld 2.0（電腦操作測試）上，GPT-6.1 Sol 只落後 Astra 2.1 個百分點，成本卻只要七分之一。跟自家前代 GPT-6 Sol 比，DeepSWE 分數高出 6.4 分、AutomationBench 高 4.8 分，OSWorld 更是在成本砍半的情況下多拿 7 分。

OpenAI 同時推出新的 Ultrafast 層級，主打速度，每秒可跑 300 個 token，適合語音助理、線上客服代理這類需要即時互動的應用。

開發者該換嗎：實際評估

已經在用 GPT-6 Sol：升級 GPT-6.1 Sol 幾乎沒有理由不換，同樣價格,分數全面提升。
原本在等 Astra：如果任務不是要做學術級研究或極端複雜的多步驟規劃，GPT-6.1 Sol 現在就能用，還便宜很多，先上線比乾等實際。
跟 Claude 比價：GPT-6.1 Sol 的價格帶已經逼近甚至低於同級 Claude 模型，如果 pipeline 是照 API 呼叫量計費，這波降價值得重新跑一次成本試算。

要注意的是，GPT-6.1 Sol 終究不是真旗艦——在最複雜的推理或長鏈規劃任務上，跟 Astra 還是有落差，只是這個落差在多數日常工程任務裡感受不明顯。它更像是「夠用又便宜」的選擇，不是「最強」的選擇。

GPT-6.1 Sol 現在已開放給 ChatGPT Plus、Pro、Business、Enterprise、Edu 用戶，也能在 Codex 與 API 直接呼叫，模型代號 gpt-6.1-sol。

好不好用，試了才知道。

🇺🇸 GPT-6.1 Sol Review: Near-Flagship AI at 1/5 the Price

GPT-6.1 Sol is the model OpenAI rushed out at DevDay on September 29, 2026, after the true flagship, GPT-6.1 Astra, got delayed over safety concerns. The pitch is simple: get close to Astra's coding and computer-use performance for a fifth of the token price. API pricing lands at $2 per million input tokens and $10 per million output tokens, with cached input cut to just $0.10 — a 95% discount off standard pricing.

The Benchmarks: How Much Cheaper, How Much Worse

On DeepSWE v1.1, a software-engineering agent benchmark, GPT-6.1 Sol matches Astra's top score while costing roughly $1.50 per task versus Astra's $7.70 — an 80% cost cut. On OSWorld 2.0, a computer-use benchmark, GPT-6.1 Sol lands within 2.1 percentage points of Astra at one-seventh the cost. Compared to its own predecessor GPT-6 Sol, it scores 6.4 points higher on DeepSWE, 4.8 points higher on AutomationBench, and 7 points higher on OSWorld — at less than half the cost per task.

OpenAI also introduced an Ultrafast tier running at 300 tokens per second, aimed at latency-sensitive use cases like voice assistants and live customer-support agents.

Should You Switch: A Practical Take

Already on GPT-6 Sol: Upgrading to GPT-6.1 Sol is close to a free lunch — same price tier, better scores across the board.
Waiting for Astra: Unless your workload genuinely needs frontier-level reasoning on long, complex multi-step tasks, GPT-6.1 Sol is usable today at a fraction of the cost — shipping now beats waiting around.
Comparing against Claude: GPT-6.1 Sol's pricing now sits at or below comparable Claude tiers. If your pipeline bills per API call, this is worth a fresh cost recalculation.

One caveat: GPT-6.1 Sol is still not the real flagship. On the hardest reasoning and long-chain planning tasks, the gap to Astra remains — it just doesn't show up much in everyday engineering work. Think of it as the "good enough and cheap" pick, not the "strongest" one.

GPT-6.1 Sol is now live for ChatGPT Plus, Pro, Business, Enterprise, and Edu users, plus Codex and direct API access under the model ID gpt-6.1-sol.

You won't know until you try it.

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